4.6 Article

Background-free wide-field fluorescence imaging using edge detection combined with HiLo

Journal

JOURNAL OF BIOPHOTONICS
Volume 15, Issue 8, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/jbio.202200031

Keywords

edge detection; HiLo; light sheet microscopy; wide-field fluorescence microscopy

Funding

  1. National Natural Science Foundation of China [11804350, 61521093, 61527821, 61905257, U1930115]
  2. Shanghai Hong Kong, Macao and Taiwan Cooperation Project [19490760900]
  3. Shanghai Municipal Natural Science Foundation of China [20ZR1464500]

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The V-HiLo-ED method, based on edge detection, is proposed to remove background noise in fluorescence microscopy imaging. Compared with other software algorithms and hardware methods, V-HiLo-ED performs better in background removal and imaging quality, while also improving the signal-to-noise ratio of images.
Fluorescence microscopy has been widely used in the field of biological imaging, but the disturbance of background noise has always been an unavoidable phenomenon. To obtain a background free image, a virtual HiLo based on edge detection (V-HiLo-ED) method for background removing is proposed, which is different from the existing popular software algorithms that obtain the background-free image by subtracting the estimated background, but the background-free image is directly reconstructed by estimating the foreground. Compared with two other popular software-based methods, the wavelet-based background and noise subtraction algorithm (WBNS) and the rolling ball algorithm (RBA), the V-HiLo-ED owns a better quality on achieving background-free imaging. Compared with hardware-based method such as HiLo method, V-HiLo-ED exhibits almost the same performance but faster speed. In combination with light sheet microscopy, the V-HiLo-ED further improves the signal-to-noise ratio of images with thick light-sheet. These experiment results indicate that the V-HiLo-ED owns the potentiality in many other image applications such as endoscopy.

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